Stock market’s historical performance estimate that over time, the payment (and reinvestment, and compounding) of dividends have contributed anywhere from 30% to 90% of the S&P 500’s total returns. I want to spread $400,000 into profit yielding dividend equities but unsure of which to get into.

*The incompetence and corruption that runs through this administration is getting scarier. I feel sympathy for people with disabilities not getting the help they deserve. Imagine investing $1,000 and receiving $4,300*

Considering a young mid income, short term minded person with constant need for cash, are these still worth investing into? I am new to all of these and have incurred so much losses, I am beginning to think I am not doing what is good for me but just following people blindly. .......

Bitcoin is on its way to breaking records, getting closer to hitting new high prices even though it's keep fluctuating, showing that it's gaining more value and could go even higher than we've seen before. This could mean great things for people looking to invest, suggesting now might be a good time to get involved before it jumps even higher. It's an exciting moment that could change the game in general...managed to grow a nest egg of around 117k to a decent 632k....At the heart of this evolution is Bradford , whose deep understanding of both cryptocurrency and traditional trading has been instrumental. His holistic approach to investment and commitment to staying abreast of market trends make him an invaluable ally in navigating this new era in cryptocurrency investment....

they cut him off i want to hear andrews emails

AGI is a philosophical question

The host wants to shine more than the sun 😂

The guest speaker is misinformed. The logic sounds ostensibly correct - a human being doesn’t need to know Java to write Shakespeare. But LLMs are not humans. It is widely established that the remarkable capabilities come from hoovering up vast amounts of high quality data. Capabilities increase with the amount of data they are pretrained on, which includes code. So in a sense, yes, they do need to know Java to write better Shakespeare. Small models will turn out to be highly useful for research in the long-run, but not commercially applicable. There will probably always be some cases in which models that need to be deployed at the edge will need to be small, but small is relative. Fast forward to 2030 and those “small models” at the edge may look like GPT-4o or GPT-5.

Bro interrupting is annoying

Excellent discussion

I think the answer to Andrew's question regarding LLM investment vs smaller domain specific LM's might be, at least in the the US and Europe, that there are a lot of large private companies (the GE's, IBM's and Pfizer's, etc of the Fortune 500 for example) that have amassed their own industry- and operations-specific private data sets, over decades and decades, that will never be part of the LLMs which have largely resulted from scraping the public internet.

Let the guy finish talking

Nvidia has no competition anytime soon.

Disagree with the small language models. Sure they’re faster but having one LLM to have access to your data is crucial.

I think Nvidia can take it's lead and take on enhancing mobile data processing-keep its lead. As it is even with the small large language modeling, it's faster to ask a cloud based model for the answers than to do the computations locally.

The guest didn't answer the question. It is a good question.

Andrew, you were getting close. The answer is that the baseline intelligence from which to create and reason is available open-source and as good as GPT-4. Fine-tuned LLMs are called agents. Open-source LLMs allow us to create agents. Agents have tools, memory and planning and actions. That is what LLMs will be. This is the application layer. The incumbents will be like Google on steroids, they are better just thinking machines. You just need a little more understanding of the technology to see where the market is going. Happy AI trails!

I heart 💚🖤 Becky 🇺🇸📈

But you need larger models to emulate human reasoning and intelligence by brute force learning. You need 100000 tokens text 1000000 tokens images 1000000 tokens sensors data in order for a robot pick an egg by first try without breaking it and you need very very reliable models in order to trust the model

you can't call AGI a philosophical question if there is a likelyhood that it's already in the lab

Because small models are great for on device. Jeez man….. why is CNBC letting this guy interview people!??

Nvidia has gone up too much. Whoever buys it from: will it go up to 5 trillion in market cap ?

I bought before the A.I. hype. Will buy more after the 10-1 stock split. But, from my experience the stock goes down and stays there for awhile then jumps up suddenly. Would be cool if I can buy $100k of the stock and 25 years from now it turns into $1 million. Then, sell it and buy dividend paying stocks and have a monthly income for retirement. But, I'm not holding my breath.

NVDA to the Moon $.

GameStop amc baby! :)

More free commercials

Waiting for AI to block all the phishing and pathetic scamming posts under every single financial news video.

This host, Andrew has a habit of cutting off others and rambling. We don't want to hear your opinions Andrew. We want to hear the real expert on the issue, Michael Fertik!

Dave Grohl moonlighting as analyst

Dude, how about saying something we don’t know.

He doesn't know where it's going, he's a clown.

holy interrupting is so annoying

I have seen AI jesus

Lol no mention at all of bitcoin mining , which is the real reason behind nvidias explosion in value !

Nvidia is a monolopy

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You have a serious problem talking over your guest 🤢

This host is very rude.